Abhijit Nikam
Senior Associate at Cognizant
Based in London, United Kingdom
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Seniority
Staff
Department
Information Technology
Location
London
Industry
IT Services and IT Consulting
Company size
352K
Contact information
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a•••••••@cognizant.com
Phone
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Background
About Abhijit Nikam
As an Azure Data Engineer with over 14 years of experience in Business Intelligence and the Software Development Life Cycle (SDLC), I specialize in transforming complex data into actionable insights. My expertise lies in designing and optimizing ETL pipelines using Azure Data Factory, Azure SQL Database, and Azure Databricks, ensuring efficient data ingestion and processing from various sources. I have a strong foundation in SQL development, particularly within the Banking, Insurance, and Healthcare sectors, where I have successfully implemented data solutions that drive strategic decision-making. My technical skills include- Azure Technologies: Proficient in Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics- Programming: Experienced in Python (v3.7), utilizing libraries like Pandas for data manipulation and analysis- Data Modeling: Skilled in dimensional modeling, ER modeling, and implementing star and snowflake schemas. Throughout my career, I have led projects that enhance operational efficiency and reduce costs, such as migrating on-premises data to cloud solutions, which improved system performance by 25% and reduced IT dependency by 40%. My role as a Senior Data Engineer at Cognizant Technology Solutions has allowed me to develop innovative solutions tailored to client needs, showcasing my ability to communicate effectively and work collaboratively in team environments. I am passionate about leveraging data to solve real-world problems and am committed to continuous learning and professional development. I hold multiple certifications, including Microsoft Certified: Azure Data Engineer Associate and Azure Developer Associate, which reflect my dedication to staying at the forefront of technology. Let’s connect and explore how I can contribute to your organization’s data-driven initiatives!
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